DEVELOPMENT... OpenML
Run
151955

Run 151955

Task 22 (Supervised Classification) mfeat-zernike Uploaded 09-02-2015 by Felicia West
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Flow

weka.RacedIncrementalLogitBoost_DecisionStump(2)Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
weka.RacedIncrementalLogitBoost_DecisionStump(2)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(2)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(2)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8559
Per class
F measure
0.5159
Per class
Kappa
0.4806
KB relative information score
877.3175
Mean absolute error
0.1301
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5446
Per class
Predictive accuracy
0.5325
Prior entropy
3.3219
Recall
0.5325
Per class
Relative absolute error
0.7229
Root mean prior squared error
0.3
Root mean squared error
0.2503
Root relative squared error
0.8345
SciMark benchmark
938.9865
UserCPU time millis
250
UserCPU time millis testing
10
UserCPU time millis training
240